106 lines
2.4 KiB
Markdown
106 lines
2.4 KiB
Markdown
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# 【E21现场】对比22.07和22.02 ，发现22.07日志量减少了接近1/3
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| ID | Creation Date | Assignee | Status |
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|----|----------------|----------|--------|
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| OMPUB-640 | 2022-09-23T15:19:29.000+0800 | 戚岱杰 | 已关闭 |
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---
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现场问题：会话日志丢失30%左右。**qidaijie** commented on *2022-09-29T18:47:10.433+0800*:
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问题描述：
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1：在流量高峰期（日志量>45w/s时,当前峰值日志量70w/s），分中心Flink汇聚日志出现负载不均情况，致使Kafka个别节点写入量为其他节点的两倍。
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2：国家中心Gohangout无法及时处理该节点的数据，积压的数据达到Kafka存储上限被删除，最终导致了数据丢失。
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处置进展：
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1：目前正在针对Gohangout进行性能优化，减少积压造成的数据丢失情况。
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后续持续观察
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---
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**qidaijie** commented on *2022-10-19T14:13:31.965+0800*:
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2022-10-05针对现场情况对国家中心Kafka进行配置回滚操作，回滚后基本恢复正常。
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!修复后数据监控曲线截图.png|thumbnail!
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流量高峰期BOL-IGW，MWV-IGW两个局点，处理压力较大 有丢日志的情况，DIR-IGW，SSM-IGW处理有一定延迟。
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!分中心数据延迟情况.png|thumbnail!
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---
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**qidaijie** commented on *2022-10-19T18:42:52.120+0800*:
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考虑通过增加Kafka分区和ETL插件并行度进行优化该问题。
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对BOL-IGW，MWV-IGW两个局点进行修改，将Kafka分区和ETL插件消费并行度由20增加到30，进行观察。
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操作文档： [^优化分区数及Flink任务并行度文档-20221019.txt]
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---
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**qidaijie** commented on *2022-10-21T11:10:41.121+0800*:
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追加对DIR-IGW和SSM-IGW局点，将Kafka分区和ETL插件消费并行度由20增加到30操作，进行观察。
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**qidaijie** commented on *2022-10-31T10:39:52.931+0800*:
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对IGW站点进行优化后观察一段时间，目前通过NZ系统查看最近的日志量曲线图，基本已经确认数据汇聚已恢复正常。
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!E现场当前日志情况.jpg|thumbnail!
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---
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## Attachments
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**31823/20220929优化文档.txt**
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---
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**31822/20221005优化文档.txt**
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---
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**32401/E现场当前日志情况.jpg**
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---
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**31828/Kafka异常截图_2.png**
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---
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**31827/Kafka异常截图.png**
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---
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**31831/分中心数据延迟情况.png**
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---
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**31829/数据监控曲线异常截图.png**
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---
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**31832/修复后数据监控曲线截图.png**
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---
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**31873/优化分区数及Flink任务并行度文档-20221019.txt**
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---
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